Next Article in Journal
Techniques for Interface Stress Measurements within Prosthetic Sockets of Transtibial Amputees: A Review of the Past 50 Years of Research
Next Article in Special Issue
State Estimation for a Class of Non-Uniform Sampling Systems with Missing Measurements
Previous Article in Journal
Spectrum Handoffs Based on Preemptive Repeat Priority Queue in Cognitive Radio Networks
Previous Article in Special Issue
The Joint Adaptive Kalman Filter (JAKF) for Vehicle Motion State Estimation
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(7), 1120;

The Vector Matching Method in Geomagnetic Aiding Navigation

Faculty of Automation and Information Engineering, Xi’an University of Technology, NO.5 South Jinhua Road, Xi’an 710048, China
Xi’an Research Institute of High Technology, NO.2 Tongxin Road, Xi’an 710025, China
Author to whom correspondence should be addressed.
Academic Editors: Xue-Bo Jin, Feng-Bao Yang, Shuli Sun and Hong Wei
Received: 28 March 2016 / Revised: 9 July 2016 / Accepted: 15 July 2016 / Published: 20 July 2016
(This article belongs to the Special Issue Advances in Multi-Sensor Information Fusion: Theory and Applications)
Full-Text   |   PDF [1414 KB, uploaded 20 July 2016]   |  


In this paper, a geomagnetic matching navigation method that utilizes the geomagnetic vector is developed, which can greatly improve the matching probability and positioning precision, even when the geomagnetic entropy information in the matching region is small or the geomagnetic contour line’s variety is obscure. The vector iterative closest contour point (VICCP) algorithm that is proposed here has better adaptability with the positioning error characteristics of the inertial navigation system (INS), where the rigid transformation in ordinary ICCP is replaced with affine transformation. In a subsequent step, a geomagnetic vector information fusion algorithm based on Bayesian statistical analysis is introduced into VICCP to improve matching performance further. Simulations based on the actual geomagnetic reference map have been performed for the validation of the proposed algorithm. View Full-Text
Keywords: geomagnetic matching; inertial navigation system; iterative closest contour point; Bayesian theory geomagnetic matching; inertial navigation system; iterative closest contour point; Bayesian theory

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Song, Z.; Zhang, J.; Zhu, W.; Xi, X. The Vector Matching Method in Geomagnetic Aiding Navigation. Sensors 2016, 16, 1120.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top